Efficient privacy-preserving multi-keyword ranked search utilizing document replication and partition

Search with privacy-preserving guarantee has been a critical issue for commercial cloud storage. Data owners outsource a large number of encrypted sensitive data to cloud and allow data users to search and retrieve encrypted data in cloud. Recently, Cao et al. [1] proposed a scheme to enable multi-k...

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Bibliographic Details
Published in2015 12th Annual IEEE Consumer Communications and Networking Conference (CCNC) pp. 671 - 676
Main Authors Ching-Yang Tseng, ChangChun Lu, Cheng-Fu Chou
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.01.2015
Subjects
Cloud computing
Encryption
Indexes
Privacy
Servers
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Summary:Search with privacy-preserving guarantee has been a critical issue for commercial cloud storage. Data owners outsource a large number of encrypted sensitive data to cloud and allow data users to search and retrieve encrypted data in cloud. Recently, Cao et al. [1] proposed a scheme to enable multi-keyword ranked search over encrypted data. In this paper, we focus on practical factors and incremental update in cloud. We utilize document replication and partition with one-to-many order preserving encryption to achieve privacy-preserving guarantees. We also introduce an index structure to provide efficient incremental update. Under a reasonable practical situation, the proposed scheme is more efficient than previous works and has lower communication overhead.
ISSN:2331-9852
DOI:10.1109/CCNC.2015.7158059